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DocumentRetrieverConfig

Config for indexing options of a document retriever. Default values of optional arguments are heuristically selected by the Abacus.AI platform based on the underlying data.

KEY	TYPE	Description
textEncoder	VectorStoreTextEncoder	Encoder used to index texts from the documents.
chunkOverlapFraction	float	The fraction of overlap between chunks.
chunkSizeFactors	list	Chunking data with multiple sizes. The specified list of factors are used to calculate more sizes, in addition to `chunk_size`.
summaryInstructions	str	Instructions for the LLM to generate the document summary.
scoreMultiplierColumn	str	If provided, will use the values in this metadata column to modify the relevance score of returned chunks for all queries.
pruneVectors	bool	Transform vectors using SVD so that the average component of vectors in the corpus are removed.
useDocumentSummary	bool	If True, uses the summary of the document in addition to chunks of the document for indexing and querying.
indexMetadataColumns	bool	If True, metadata columns of the FG will also be used for indexing and querying.
chunkSize	int	The size of text chunks in the vector store.